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Improved magneto-rheological damper reverse modeling method

A magneto-rheological damper and reverse modeling technology, which is applied in the fields of artificial intelligence and dynamic modeling, can solve the problems of insufficient precision of the reverse model, and achieve the effects of avoiding the disaster of dimensionality, improving prediction accuracy, and fully reducing vibration

Active Publication Date: 2019-05-24
MINJIANG UNIV
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Problems solved by technology

This method can effectively solve the problem of insufficient accuracy of the inverse model, and finally realize the precise control of the damping force, so that the magnetorheological damper can give full play to its damping performance

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  • Improved magneto-rheological damper reverse modeling method

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Embodiment Construction

[0052] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0053] It should be pointed out that the following detailed description is exemplary and is intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0054] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combina...

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Abstract

The invention relates to an improved magneto-rheological damper reverse modeling method. Firstly, the structure of an ANFIS is determined, and training data of an ANFIS reverse model is obtained; Then, the ANFIS training algorithm is improved by adopting an improved doodle search algorithm; wherein an improved doodle search algorithm is adopted to optimize membership function parameters of the ANFIS, a least square method is adopted to adjust fuzzy rule parameters of the ANFIS, and finally, an optimal ANFIS reverse model of the MR damper is obtained, so that the control voltage of the MR damper can be accurately predicted by the ANFIS reverse model; And finally, based on the forward model of the MR damper, calculating the predicted damping force of the MR damper. According to the method, the defects of a traditional ANFIS modeling technology in the aspect of an algorithm can be overcome, the improved ANFIS reverse model can improve the voltage prediction precision of the MR damper, andtherefore the prediction precision of damping force is improved, and the damping (vibration) effect of the MR damper is enhanced.

Description

technical field [0001] The invention relates to the fields of artificial intelligence and dynamic modeling, in particular to an improved reverse modeling method for a magnetorheological damper. Background technique [0002] The MR damper is an intelligent semi-active vibration reduction device with broad application prospects. It has many advantages such as high failure safety, fast response, low energy consumption, large output, and large dynamic range. However, due to the magnetic The rheological fluid has a complex constitutive relationship, which makes the damping force have obvious hysteretic characteristics and complex nonlinearity, which brings challenges to the establishment of an inverse dynamics model that can accurately predict the control signal of the MR damper. [0003] The Adaptive Neuro-Fuzzy Inference System (ANFIS) combines the neural network and the fuzzy system, and learns from each other. It is an intelligent algorithm that has both the self-learning abi...

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Application Information

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IPC IPC(8): G06F17/50G06N3/08G06N3/04G06N5/04
Inventor 林秀芳郑祥盘唐晓腾
Owner MINJIANG UNIV
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